2. Agenda
1:00pm – Welcome & Keynote Presentation
Bert Hayes, Splunk
Alan Webber, IDC Government Insights
2:00pm – Splunk for Government: Customer Use Cases
Splunk Overview: Bert Hayes, Splunk
Security Use Case: Chris Letterman, State of Alaska
Business Analytics Use Case: Justin Boucher, DoD Healthcare
3:00pm – Concurrent Breakout Sessions
Splunk for Security
Glenn Keavney, Deloitte
Bert Hayes, Splunk
Splunk for IT Operations
Jennifer Green, Los Alamos National Security, LLC.
Jon Rooney, Splunk
Splunk for Application Delivery
Calvin Smith, Northrop Grumman Information Systems
Jon Thompson, Splunk
2
3. Finding Balance And Security
In A Big Data World
Alan Webber
Research Director
Government Insights
13. 1st Platform – Mainframe And Terminals
13
Switching from paper to electrons
Still large question about efficiency
and effectiveness of electronic
business processes
However paper doesn’t go away
Establishment of the role of the CIO
14. 2nd Platform – LAN/Internet And Client-
Server
14
Institutionalization of networks and
the introduction of the Internet in
work processes
Client-Servers began the
exponential growth curve in data
Beginning of enterprise
transformation
15. 3rd Platform – Taking Advantage Of
Connectedness
15
Citizen/consumer transformation
pushes enterprise transformation
New platforms
New engagement models for
Government
New decision makers
Government continues focus on
operational efficiency
New Government focus on
• Outcomes versus outputs
• Innovation
16. Innovation Accelerators Driving
Disruption And More Change
16
Innovation
accelerators will
accelerate the rate of
change in enterprises
All of these will affect
government, though
IoT, Cognitive
Systems, and Next
Gen Security will be
the big ones
19. Source: IDC Global Technology and Industry Research Organization IT Survey, May 2013 N= 182
Q. What type of data are being captured and analyzed in your organization?
Data, Data Everywhere
Sources – Internal v. External
Type – Structured v. Unstructured
Issues
Quality
Security
20. Government Data Does Not Support
Optimal Decisionmaking
20
To what extent do you agree with the following characteristics of the data
available in your organization ? (Respondents Selecting “Agree” or Completely Agree”)
N = 98
Source: IDC's 2013 BIG Data Survey - March 2014
0
10
20
30
40
50
60
70
80
Secure Actionable Timely Trusted Clean Complete Granular
(%)
23. Operational Intelligence is a type of real-time and
dynamic business analytics that is designed to deliver
visibility and insight into streaming data, events, and
business operations allowing CIO’s and other executives
to make decisions and speed actions based upon real-
time insights and intelligence.
Operational Intelligence Definition
24. Operational Intelligence Stack
Decision Support
& Automation Interface
Analytics &
Discovery
Data Organization
& Management
Data Sources
The foundation of the stack includes all current
and potential data sources
Refers to software that processes and prepares
all types of data for analysis. This layer extracts,
cleanses, normalizes, tags, and integrates data.
This layer includes software for ad-hoc
discovery, and deep analytics and software that
supports real-time analysis and automated,
rules-based transactional decision making.
Applications with functionality required to
support collaboration, scenario evaluation,
risk management, and decision capture
and retention
25. Operational Intelligence Stack
Decision Support
& Automation Interface
Analytics &
Discovery
Data Organization
& Management
Data Sources
The foundation of the stack includes all current
and potential data sources
Refers to software that processes and prepares
all types of data for analysis. This layer extracts,
cleanses, normalizes, tags, and integrates data.
This layer includes software for ad-hoc
discovery, and deep analytics and software that
supports real-time analysis and automated,
rules-based transactional decision making.
Applications with functionality required to
support collaboration, scenario evaluation,
risk management, and decision capture
and retention
26. Operational Intelligence Stack
Decision Support
& Automation Interface
Analytics &
Discovery
Data Organization
& Management
Data Sources
The foundation of the stack includes all current
and potential data sources
Refers to software that processes and prepares
all types of data for analysis. This layer extracts,
cleanses, normalizes, tags, and integrates data.
This layer includes software for ad-hoc
discovery, and deep analytics and software that
supports real-time analysis and automated,
rules-based transactional decision making.
Applications with functionality required to
support collaboration, scenario evaluation,
risk management, and decision capture
and retention
27. Operational Intelligence Stack
Decision Support
& Automation Interface
Analytics &
Discovery
Data Organization
& Management
Data Sources
The foundation of the stack includes all current
and potential data sources
Refers to software that processes and prepares
all types of data for analysis. This layer extracts,
cleanses, normalizes, tags, and integrates data.
This layer includes software for ad-hoc
discovery, and deep analytics and software that
supports real-time analysis and automated,
rules-based transactional decision making.
Applications with functionality required to
support collaboration, scenario evaluation,
risk management, and decision capture
and retention
42. Data
Responsibility for
data generation
and management
as CTO takes
technology role
Information
Being able to take
data and clarify
what it means
within that context
Intelligence
Deep knowledge
that leads to
actions both now
and about the
future
Knowledge
Taking data and
information within
that specific
context and within
the larger
organizational
and external
context
Technology
Primarily
responsible for
management of
hardware and
software – nuts
and bolts
Changing Role Of The CIO